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Book
An introduction to Bayesian inference, methods and computation
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ISBN: 3030828085 3030828077 Year: 2021 Publisher: Cham, Switzerland : Springer,


Book
New frontiers in Bayesian Statistics : Baysm 2021, online, September 1-3
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ISBN: 303116427X 3031164261 Year: 2022 Publisher: Cham, Switzerland : Springer,


Book
Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan
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ISBN: 9780124059160 0124059163 0124058884 9780124058880 Year: 2015 Publisher: Amsterdam : Academic Press is an imprint of Elsevier,

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Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.


Book
Bayesian Inference of State Space Models
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ISBN: 9783030761240 9783030761257 9783030761264 9783030761233 Year: 2021 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Bayesian Inference and Computation in Reliability and Survival Analysis
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ISBN: 3030886573 3030886581 Year: 2022 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Bayesian analysis is one of the important tools for statistical modelling and inference. Bayesian frameworks and methods have been successfully applied to solve practical problems in reliability and survival analysis, which have a wide range of real world applications in medical and biological sciences, social and economic sciences, and engineering. In the past few decades, significant developments of Bayesian inference have been made by many researchers, and advancements in computational technology and computer performance has laid the groundwork for new opportunities in Bayesian computation for practitioners. Because these theoretical and technological developments introduce new questions and challenges, and increase the complexity of the Bayesian framework, this book brings together experts engaged in groundbreaking research on Bayesian inference and computation to discuss important issues, with emphasis on applications to reliability and survival analysis. Topics covered are timely and have the potential to influence the interacting worlds of biostatistics, engineering, medical sciences, statistics, and more. The included chapters present current methods, theories, and applications in the diverse area of biostatistical analysis. The volume as a whole serves as reference in driving quality global health research. .


Book
Bayesian and high-dimensional global optimization
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ISBN: 3030647129 3030647110 Year: 2021 Publisher: Cham, Switzerland : Springer,

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Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems. Basic principles, potential and boundaries of applicability of stochastic global optimization techniques are examined in this book. A variety of issues that face specialists in global optimization are explored, such as multidimensional spaces which are frequently ignored by researchers. The importance of precise interpretation of the mathematical results in assessments of optimization methods is demonstrated through examples of convergence in probability of random search. Methodological issues concerning construction and applicability of stochastic global optimization methods are discussed, including the one-step optimal average improvement method based on a statistical model of the objective function. A significant portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called ‘curse of dimensionality’. An examination of the three different classes of high-dimensional optimization problems, the geometry of high-dimensional balls and cubes, very slow convergence of global random search algorithms in large-dimensional problems , and poor uniformity of the uniformly distributed sequences of points are included in this book. .


Book
Multi-Level Bayesian Models for Environment Perception
Authors: ---
ISBN: 9783030836542 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
Probabilistic risk analysis and Bayesian decision theory
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ISBN: 3031163338 303116332X Year: 2022 Publisher: Cham, Switzerland : Springer,

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